Global data on crop nutrient concentration and harvest indices

Estimates of crop nutrient removal (as crop products and crop residues) are an important component of crop nutrient balances. Crop nutrient removal can be estimated through multiplication of the quantity of crop products or crop residues (removed) by the nutrient concentration of those crop products and crop residue components respectively. Data for quantities of crop products removed at a country level are available through FAOSTAT (https://www.fao.org/faostat/en/), but equivalent data for quantities of crop residues are not available at a global level. However, quantities of crop residues can be estimated if the relationship between quantity of crop residues and crop products is known. Harvest index (HI) provides one such indication of the relationship between quantity of crop products and crop residues. HI is the proportion of above-ground biomass as crop products and can be used to estimate quantity of crop residues based on quantity of crop products. Previously, meta-analyses or..., Data acquisition Data were primarily collated from meta-analyses found in scientific literature. Terms used in Ovid (https://ovidsp.ovid.com/), CAB Abstracts (https://www.cabdirect.org/) and Google Scholar (https://scholar.google.com/) were: (crop) AND (“nutrient concentration” OR “nutrient content” OR “harvest index”) across any time. This search resulted in over 245,000 results. These results were refined to include studies that purported to represent crop nutrient concentration and/or harvest index of crops for geographic regions of the world, as opposed to site-specific field experiments. Given the range in different crops grown globally, preference was given to acquiring datasets that included multiple crops. In some cases, authors of meta-analyses were asked for raw data to aid the standardisation process. In addition, the International Fertilizer Association (IFA), and the Food and Agriculture Organization of the United Nations (UN FAO) provided data used for crop nutrient balanc..., R scripts to produce these data are available at: https://github.com/ludemannc/Tier_1_2_crop_coefficients.git. README_LUDEMANN_CROP_DATA_2023.txt Provides details of all the data files in this DRYAD submission. Data_diagram_25102022.csv Illustrates the general process for standardisation of data into the final formats. Combined dataset (Combined_crop_data.csv) This dataset includes the combined crop coefficient data from all sources before it was summarised by Tier category. Two metadata files accompany the Combined_crop_data.csv file. The Meta_data_Combined_crop_data_1.csv file describes the header parameters, while the Meta_data_Combined_crop_data_2.csv file describes units for each variable used in the file. Data summarised at Tier 1 and 2 level (Tier_1_and_2_crop_coefficients.csv) This dataset includes a summary of the data from the Combined_crop_data.csv file. Data were summarised into mean values across sources that purported to represent the World (indicated as being Tier 1) an..., This README_LUDEMANN_CROP_DATA_2023.txt file was generated on 2023-11-23 by Cameron Ludemann GENERAL INFORMATION 1. Titles of Datasets: README_LUDEMANN_CROP_DATA_2023.txt Provides details of all the datafiles in this DRYAD submission. Data_diagram_25102022.pdf Illustrates the general process for standardisation of data into the final formats. Combined dataset (Combined_crop_data.csv) This dataset includes the combined crop coefficient data from all sources before it was summarised by Tier category. Two meta data files accompany the Combined_crop_data.csv file. The Meta_data_Combined_crop_data_1.csv file describes the header parameters, while the Meta_data_Combined_crop_data_2.csv file describes units for each variable used in the file. Data summarised at Tier 1 and 2 level (Tier_1_and_2_crop_coefficients.csv) This dataset includes a summary of the data from the Combined_crop_data.csv file. Data were summarised into mean values across sources that purported to represent the World ...作物养分携出量（以作物产品和作物残体计）的估算是作物养分平衡的重要组成部分。作物养分携出量可通过分别将采收的作物产品或作物残体的数量，乘以对应作物产品和作物残体组分的养分浓度来估算。国家层面的作物产品采收数量数据可通过联合国粮食及农业组织统计数据库（FAOSTAT，https://www.fao.org/faostat/en/）获取，但全球范围内尚无对应可用的作物残体数量数据。不过，若明确作物残体数量与作物产品数量之间的关联关系，则可对作物残体数量进行估算。收获指数（Harvest Index, HI）即可表征二者之间的关联关系：HI指地上生物量中作为作物产品的占比，可基于作物产品数量估算作物残体的数量。此前，荟萃分析或…… 数据获取 数据主要整理自学术文献中的荟萃分析。在欧维德（Ovid）、CAB文摘数据库（CAB Abstracts，https://www.cabdirect.org/）和谷歌学术（Google Scholar，https://scholar.google.com/）中使用的检索式为：(crop) AND ("nutrient concentration" OR "nutrient content" OR "harvest index")，检索范围覆盖全时段。本次检索共得到超过24.5万条结果。随后对结果进行筛选，仅保留针对全球各地理区域的作物养分浓度和/或作物收获指数的研究，而非针对特定田块的田间试验研究。鉴于全球种植的作物种类繁多，研究优先纳入包含多种作物的数据集。部分情况下，研究人员会向荟萃分析的作者索要原始数据以辅助标准化流程。此外，国际肥料协会（International Fertilizer Association, IFA）与联合国粮食及农业组织（UN FAO）也提供了用于作物养分平衡……的相关数据。 用于生成该数据集的R脚本可通过以下链接获取：https://github.com/ludemannc/Tier_1_2_crop_coefficients.git。 README_LUDEMANN_CROP_DATA_2023.txt 本文件用于说明本次DRYAD提交的所有数据文件。 Data_diagram_25102022.csv 展示了将数据标准化为最终格式的通用流程。 Combined dataset (Combined_crop_data.csv) 本数据集包含所有来源的作物系数合并数据，尚未按层级（Tier）类别进行汇总。该文件附带两个元数据文件：Meta_data_Combined_crop_data_1.csv用于描述文件表头参数，Meta_data_Combined_crop_data_2.csv用于说明文件中各变量的单位。 Data summarised at Tier 1 and 2 level (Tier_1_and_2_crop_coefficients.csv) 本数据集包含Combined_crop_data.csv文件的汇总数据，已按声称代表全球（标记为Tier 1）等来源的均值进行汇总…… 本README_LUDEMANN_CROP_DATA_2023.txt文件由Cameron Ludemann于2023年11月23日生成。 通用信息 1. 数据集名称： README_LUDEMANN_CROP_DATA_2023.txt 提供本次DRYAD提交的所有数据文件的详细说明。 Data_diagram_25102022.pdf 展示了将数据标准化为最终格式的通用流程。 Combined dataset (Combined_crop_data.csv) 本数据集包含所有来源的作物系数合并数据，尚未按层级（Tier）类别进行汇总。该文件附带两个元数据文件：Meta_data_Combined_crop_data_1.csv用于描述文件表头参数，Meta_data_Combined_crop_data_2.csv用于说明文件中各变量的单位。 Data summarised at Tier 1 and 2 level (Tier_1_and_2_crop_coefficients.csv) 本数据集包含Combined_crop_data.csv文件的汇总数据，已按声称代表全球等来源的均值进行汇总。